The SAMI Galaxy Survey: a statistical approach to an optimal classification of stellar kinematics in galaxy surveys
International audience Large galaxy samples from multiobject integral field spectroscopic (IFS) surveys now allow for a statistical analysis of the z ~ 0 galaxy population using resolved kinematic measurements. However, the improvement in number statistics comes at a cost, with multiobject IFS surve...
Published in: | Monthly Notices of the Royal Astronomical Society |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2021
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Online Access: | https://insu.hal.science/insu-03748197 https://insu.hal.science/insu-03748197/document https://insu.hal.science/insu-03748197/file/stab1490-2.pdf https://doi.org/10.1093/mnras/stab1490 |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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English |
topic |
galaxies: evolution galaxies: formation galaxies: kinematics and dynamics galaxies: stellar content galaxies: structure cosmology: observations Astrophysics - Astrophysics of Galaxies [SDU]Sciences of the Universe [physics] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] |
spellingShingle |
galaxies: evolution galaxies: formation galaxies: kinematics and dynamics galaxies: stellar content galaxies: structure cosmology: observations Astrophysics - Astrophysics of Galaxies [SDU]Sciences of the Universe [physics] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] van de Sande, Jesse Vaughan, Sam P. Cortese, Luca Scott, Nicholas Bland-Hawthorn, Joss Croom, Scott M. Lagos, Claudia D. P. Brough, Sarah Bryant, Julia J. Devriendt, Julien Dubois, Yohan d'Eugenio, Francesco Foster, Caroline Fraser-Mckelvie, Amelia Harborne, Katherine E. Lawrence, Jon S. Oh, Sree Owers, Matt S. Poci, Adriano Remus, Rhea-Silvia Richards, Samuel N. Schulze, Felix Sweet, Sarah M. Varidel, Mathew R. Welker, Charlotte The SAMI Galaxy Survey: a statistical approach to an optimal classification of stellar kinematics in galaxy surveys |
topic_facet |
galaxies: evolution galaxies: formation galaxies: kinematics and dynamics galaxies: stellar content galaxies: structure cosmology: observations Astrophysics - Astrophysics of Galaxies [SDU]Sciences of the Universe [physics] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] |
description |
International audience Large galaxy samples from multiobject integral field spectroscopic (IFS) surveys now allow for a statistical analysis of the z ~ 0 galaxy population using resolved kinematic measurements. However, the improvement in number statistics comes at a cost, with multiobject IFS survey more severely impacted by the effect of seeing and lower signal-to-noise ratio. We present an analysis of ~1800 galaxies from the SAMI Galaxy Survey taking into account these effects. We investigate the spread and overlap in the kinematic distributions of the spin parameter proxy $\lambda _{R_{\rm {e}}}$ as a function of stellar mass and ellipticity ɛ e . For SAMI data, the distributions of galaxies identified as regular and non-regular rotators with KINEMETRY show considerable overlap in the $\lambda _{R_{\rm {e}}}$-ɛ e diagram. In contrast, visually classified galaxies (obvious and non-obvious rotators) are better separated in $\lambda _{R_{\rm {e}}}$ space, with less overlap of both distributions. Then, we use a Bayesian mixture model to analyse the observed $\lambda _{R_{\rm {e}}}$-log (M ⋆ /M ⊙ ) distribution. By allowing the mixture probability to vary as a function of mass, we investigate whether the data are best fit with a single kinematic distribution or with two. Below log (M ⋆ /M ⊙ ) ~ 10.5, a single beta distribution is sufficient to fit the complete $\lambda _{R_{\rm {e}}}$ distribution, whereas a second beta distribution is required above log (M ⋆ /M ⊙ ) ~ 10.5 to account for a population of low-$\lambda _{R_{\rm {e}}}$ galaxies. While the Bayesian mixture model presents the cleanest separation of the two kinematic populations, we find the unique information provided by visual classification of galaxy kinematic maps should not be disregarded in future studies. Applied to mock-observations from different cosmological simulations, the mixture model also predicts bimodal $\lambda _{R_{\rm {e}}}$ distributions, albeit with different positions of the $\lambda _{R_{\rm {e}}}$ peaks. Our analysis validates ... |
author2 |
Institut d'Astrophysique de Paris (IAP) Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
van de Sande, Jesse Vaughan, Sam P. Cortese, Luca Scott, Nicholas Bland-Hawthorn, Joss Croom, Scott M. Lagos, Claudia D. P. Brough, Sarah Bryant, Julia J. Devriendt, Julien Dubois, Yohan d'Eugenio, Francesco Foster, Caroline Fraser-Mckelvie, Amelia Harborne, Katherine E. Lawrence, Jon S. Oh, Sree Owers, Matt S. Poci, Adriano Remus, Rhea-Silvia Richards, Samuel N. Schulze, Felix Sweet, Sarah M. Varidel, Mathew R. Welker, Charlotte |
author_facet |
van de Sande, Jesse Vaughan, Sam P. Cortese, Luca Scott, Nicholas Bland-Hawthorn, Joss Croom, Scott M. Lagos, Claudia D. P. Brough, Sarah Bryant, Julia J. Devriendt, Julien Dubois, Yohan d'Eugenio, Francesco Foster, Caroline Fraser-Mckelvie, Amelia Harborne, Katherine E. Lawrence, Jon S. Oh, Sree Owers, Matt S. Poci, Adriano Remus, Rhea-Silvia Richards, Samuel N. Schulze, Felix Sweet, Sarah M. Varidel, Mathew R. Welker, Charlotte |
author_sort |
van de Sande, Jesse |
title |
The SAMI Galaxy Survey: a statistical approach to an optimal classification of stellar kinematics in galaxy surveys |
title_short |
The SAMI Galaxy Survey: a statistical approach to an optimal classification of stellar kinematics in galaxy surveys |
title_full |
The SAMI Galaxy Survey: a statistical approach to an optimal classification of stellar kinematics in galaxy surveys |
title_fullStr |
The SAMI Galaxy Survey: a statistical approach to an optimal classification of stellar kinematics in galaxy surveys |
title_full_unstemmed |
The SAMI Galaxy Survey: a statistical approach to an optimal classification of stellar kinematics in galaxy surveys |
title_sort |
sami galaxy survey: a statistical approach to an optimal classification of stellar kinematics in galaxy surveys |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://insu.hal.science/insu-03748197 https://insu.hal.science/insu-03748197/document https://insu.hal.science/insu-03748197/file/stab1490-2.pdf https://doi.org/10.1093/mnras/stab1490 |
genre |
sami |
genre_facet |
sami |
op_source |
ISSN: 0035-8711 EISSN: 1365-2966 Monthly Notices of the Royal Astronomical Society https://insu.hal.science/insu-03748197 Monthly Notices of the Royal Astronomical Society, 2021, 505, pp.3078-3106. ⟨10.1093/mnras/stab1490⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/arxiv/2011.08199 info:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/stab1490 insu-03748197 https://insu.hal.science/insu-03748197 https://insu.hal.science/insu-03748197/document https://insu.hal.science/insu-03748197/file/stab1490-2.pdf ARXIV: 2011.08199 BIBCODE: 2021MNRAS.505.3078V doi:10.1093/mnras/stab1490 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1093/mnras/stab1490 |
container_title |
Monthly Notices of the Royal Astronomical Society |
container_volume |
505 |
container_issue |
2 |
container_start_page |
3078 |
op_container_end_page |
3106 |
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spelling |
ftccsdartic:oai:HAL:insu-03748197v1 2023-11-05T03:44:49+01:00 The SAMI Galaxy Survey: a statistical approach to an optimal classification of stellar kinematics in galaxy surveys van de Sande, Jesse Vaughan, Sam P. Cortese, Luca Scott, Nicholas Bland-Hawthorn, Joss Croom, Scott M. Lagos, Claudia D. P. Brough, Sarah Bryant, Julia J. Devriendt, Julien Dubois, Yohan d'Eugenio, Francesco Foster, Caroline Fraser-Mckelvie, Amelia Harborne, Katherine E. Lawrence, Jon S. Oh, Sree Owers, Matt S. Poci, Adriano Remus, Rhea-Silvia Richards, Samuel N. Schulze, Felix Sweet, Sarah M. Varidel, Mathew R. Welker, Charlotte Institut d'Astrophysique de Paris (IAP) Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) 2021 https://insu.hal.science/insu-03748197 https://insu.hal.science/insu-03748197/document https://insu.hal.science/insu-03748197/file/stab1490-2.pdf https://doi.org/10.1093/mnras/stab1490 en eng HAL CCSD Oxford University Press (OUP): Policy P - Oxford Open Option A info:eu-repo/semantics/altIdentifier/arxiv/2011.08199 info:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/stab1490 insu-03748197 https://insu.hal.science/insu-03748197 https://insu.hal.science/insu-03748197/document https://insu.hal.science/insu-03748197/file/stab1490-2.pdf ARXIV: 2011.08199 BIBCODE: 2021MNRAS.505.3078V doi:10.1093/mnras/stab1490 info:eu-repo/semantics/OpenAccess ISSN: 0035-8711 EISSN: 1365-2966 Monthly Notices of the Royal Astronomical Society https://insu.hal.science/insu-03748197 Monthly Notices of the Royal Astronomical Society, 2021, 505, pp.3078-3106. ⟨10.1093/mnras/stab1490⟩ galaxies: evolution galaxies: formation galaxies: kinematics and dynamics galaxies: stellar content galaxies: structure cosmology: observations Astrophysics - Astrophysics of Galaxies [SDU]Sciences of the Universe [physics] [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph] info:eu-repo/semantics/article Journal articles 2021 ftccsdartic https://doi.org/10.1093/mnras/stab1490 2023-10-07T22:58:41Z International audience Large galaxy samples from multiobject integral field spectroscopic (IFS) surveys now allow for a statistical analysis of the z ~ 0 galaxy population using resolved kinematic measurements. However, the improvement in number statistics comes at a cost, with multiobject IFS survey more severely impacted by the effect of seeing and lower signal-to-noise ratio. We present an analysis of ~1800 galaxies from the SAMI Galaxy Survey taking into account these effects. We investigate the spread and overlap in the kinematic distributions of the spin parameter proxy $\lambda _{R_{\rm {e}}}$ as a function of stellar mass and ellipticity ɛ e . For SAMI data, the distributions of galaxies identified as regular and non-regular rotators with KINEMETRY show considerable overlap in the $\lambda _{R_{\rm {e}}}$-ɛ e diagram. In contrast, visually classified galaxies (obvious and non-obvious rotators) are better separated in $\lambda _{R_{\rm {e}}}$ space, with less overlap of both distributions. Then, we use a Bayesian mixture model to analyse the observed $\lambda _{R_{\rm {e}}}$-log (M ⋆ /M ⊙ ) distribution. By allowing the mixture probability to vary as a function of mass, we investigate whether the data are best fit with a single kinematic distribution or with two. Below log (M ⋆ /M ⊙ ) ~ 10.5, a single beta distribution is sufficient to fit the complete $\lambda _{R_{\rm {e}}}$ distribution, whereas a second beta distribution is required above log (M ⋆ /M ⊙ ) ~ 10.5 to account for a population of low-$\lambda _{R_{\rm {e}}}$ galaxies. While the Bayesian mixture model presents the cleanest separation of the two kinematic populations, we find the unique information provided by visual classification of galaxy kinematic maps should not be disregarded in future studies. Applied to mock-observations from different cosmological simulations, the mixture model also predicts bimodal $\lambda _{R_{\rm {e}}}$ distributions, albeit with different positions of the $\lambda _{R_{\rm {e}}}$ peaks. Our analysis validates ... Article in Journal/Newspaper sami Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Monthly Notices of the Royal Astronomical Society 505 2 3078 3106 |